Senior AI Engineer

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

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  Key Responsibilities
  
  • Model Development & Implementation: Designing, implementing, and fine-tuning generative models using frameworks like PyTorch or TensorFlow.
• Building RAG Pipelines: Creating retrieval-augmented generation pipelines to connect LLMs to internal data sources for more accurate, context-aware outputs.
• Prompt Engineering: Designing and optimizing prompts to guide LLMs (e.g., GPT-4, Claude) for specific tasks and improved accuracy.
• Data Processing & Engineering: Preparing datasets for training, including data cleaning, labeling, and embedding generation for vector databases.
• API Integration: Integrating third-party APIs (OpenAI, AWS Bedrock, Anthropic) into applications to leverage pre-trained models.
• Deployment & MLOps: Deploying models using containerization (Docker, Kubernetes)

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

• Programming Proficiency: Expert-level skills in Python are required, with additional experience in SQL preferred.
• Generative AI & LLMs: Good understanding of transformer models (BERT, GPT), diffusion models, and frameworks like LangChain, Hugging Face, and LlamaIndex.
• Machine Learning/Deep Learning: Strong foundation in ML algorithms and neural networks, including experience with TensorFlow, Keras, or PyTorch.
• Vector Databases: Experience with vector storage and search technologies such as Pinecone, Milvus, FAISS, or Chroma DB.
• Cloud Platforms: Proficiency in cloud-based AI services, like AWS Bedrock or Azure AI.
• Soft Skills: Strong communication, problem-solving, and collaboration skills